Volume 43 Issue 6
Nov.  2024
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LIU Qing, GAN Jianjun, CHEN Hao, LI Xiaoming, ZHOU Guobin. Failure mechanism of small-scale soil landslide and quantitative evaluation of rain-induced disaster factors in eastern Jiangxi[J]. Bulletin of Geological Science and Technology, 2024, 43(6): 235-243. doi: 10.19509/j.cnki.dzkq.tb20230678
Citation: LIU Qing, GAN Jianjun, CHEN Hao, LI Xiaoming, ZHOU Guobin. Failure mechanism of small-scale soil landslide and quantitative evaluation of rain-induced disaster factors in eastern Jiangxi[J]. Bulletin of Geological Science and Technology, 2024, 43(6): 235-243. doi: 10.19509/j.cnki.dzkq.tb20230678

Failure mechanism of small-scale soil landslide and quantitative evaluation of rain-induced disaster factors in eastern Jiangxi

doi: 10.19509/j.cnki.dzkq.tb20230678
  • Received Date: 06 Dec 2023
  • Accepted Date: 01 Jul 2024
  • Rev Recd Date: 27 Feb 2024
  • Objective

    This study aims to investigate the causes of typical soil landslides in eastern Jiangxi and assess the influence of rainfall on slope stability in the region.

    Methods

    Using the Ziwu landslide in Guangfeng District, Shangrao City, Jiangxi Province as a case study, this paper conducted a comprehensive analysis of rainfall data and surface displacement monitoring. A two-dimensional (2D) mechanical model was established using GeoStudio finite element software to simulate the deformation of small residual slope soil landslides under different rainfall conditions. This study analyzes the local rainfall characteristics, modeled four typical rainfall patterns across five scenarios, applied multiple linear regression to fit the data, and developed an I-D-Fs evaluation model.

    Results

    The results show that (1) the peak values of earth pressure and soil moisture content are 16.8 kPa and 16.3%, respectively, with a 3 to 5 days lag between rainfall onset and the increase in these values during the early stages of rainfall; (2) rainfall is the primary trigger for landslides, which progress through three distinct phases: Creeping of the front slope, pulling of the rear slope, and sudden sliding of the whole slope; and (3) rainfall patterns significantly impact slope stability, necessitating seasonal monitoring and early warning systems. During periods of low rainfall, uniform rainfall is the most detrimental, decreasing the stability coefficients by 2% compared to other patterns. During heave rainfall, frontal rainfall is the most hazardous, decreasing the stability coefficient by 8% compared to other patterns.

    Conclusion

    These results provide a scientific basis for the monitoring and early warning of shallow soil landslides.

     

  • The authors declare that no competing interests exist.
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